Multivariate-parameter optimization of acid blue-7 wastewater treatment by Ti/TiO2 photoelectrocatalysis via Box-Behnken design
|Title:||Multivariate-parameter optimization of acid blue-7 wastewater treatment by Ti/TiO2 photoelectrocatalysis via Box-Behnken design||Authors:||Fu, J.F.
|Permanent link:||http://hdl.handle.net/10197/3132||Date:||Jul-2009||Online since:||2011-08-30T15:27:16Z||Abstract:||The aim of this study is to obtain optimal decolourization conditions for Acid blue-7 (AB7) wastewater treatment by Ti/TiO2 photoelectrocatalysis using response surface methodology (RSM). On the basis of a three-variable Box-Behnken design (BBD), RSM was used to determine the effect of pH values (ranged from 3.2 to 6), light intensity (ranged from 10 to 20 ×102μW/cm2) and bias potential (ranged from 0.1 to 1.1V) on the levels of response, i.e. decolourization efficiency. By applying the quadratic regression analysis, the equations describing the behaviors of the response as simultaneous functions of the selected independent variables were developed. Accordingly, the optimal conditions were determined as pH of 3.41, light intensity of 16.02×102μW/cm2 and bias potential of 0.68V. Decolourization efficiency of 90.13%, obtained experimentally under such optimal conditions was highly agreed with that of 90.44%, estimated by the equations.||Funding Details:||Other funder||Type of material:||Journal Article||Publisher:||Elsevier||Journal:||Desalination||Volume:||243||Issue:||1-3||Start page:||42||End page:||51||Copyright (published version):||2009 Elsevier B.V.||Keywords:||Acid blue-7; Box-Behnken design (BBD); Optimization; Response surface methodology (RSM); Ti/TiO2 electrode||Subject LCSH:||Water--Purification--Color removal
Response surfaces (Statistics)
|DOI:||10.1016/j.desal.2008.03.038||Other versions:||http://dx.doi.org/10.1016/j.desal.2008.03.038||Language:||en||Status of Item:||Peer reviewed|
|Appears in Collections:||Centre for Water Resources Research Collection|
Urban Institute Ireland Research Collection
Critical Infrastructure Group Research Collection
Civil Engineering Research Collection
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